Addressing bandwidth demand in full-immersive virtual reality

Augmented and virtual reality technology are expected to become key technological players in the next wave of consumer electronics with potential applications spanning a wide variety of economic sectors. Yet, there are a number of technological hurdles which need to be addressed. Without speed and computation capability interactivity cannot work. More than often the constrained nature of the mobile device demands are complemented by cloud ones through the use of cloud offloading techniques. With cloud offloading, battery consumption and processing performance problems are translated into sensor data selection and network latency problems. In this context, we focus our study on a network function which could be deployed in a 5G virtualized architecture to alleviate bandwidth requirements of immersive application scenarios. To this end, we rely on a real dataset, providing user-centric metadata on several 4k, 360-degree videos. Different computational methods are proposed and contrasted, evidencing the goodput of the approaches.